Schlick S, Eigner I, Ensslen S (2015)
Publication Language: English
Publication Type: Other publication type
Publication year: 2015
People often ask others for advice before making a decision. Especially in the context of travel planning, this leads to an increasing importance of communities. By conducting a study with members of an online travel community, this paper analyzes human recommendation behavior within a travel context. First, the concept of “similarity of trips”, a measure used by content-based recommender systems, is evaluated. Second, the role of friendships within a recommendation network is examined. Findings show that people tend to rate trips better if they have a high similarity to trips they did in the past. Additionally, people prefer trips recommended by their friends, even more so if a friend did this trip in the past. Finally, the results show that automatically recommended trips of the participants’ friends are accepted at least as well as user-generated recommendations for trips of friends and better than user-generated recommendations for trips of non-friends.
APA:
Schlick, S., Eigner, I., & Ensslen, S. (2015). Assessing the Influences of Trip Similarity and User Relationships on Individual Travel Recommendations.
MLA:
Schlick, Sabine, Isabella Eigner, and Sabine Ensslen. Assessing the Influences of Trip Similarity and User Relationships on Individual Travel Recommendations. 2015.
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